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AI · head to head

CoreWeave vs Workato

CoreWeave logo

CoreWeave

AI

Specialized cloud for GPU compute

From
$0.35/per-hour
Rated
-
Workato logo

Workato

Automation Integration

The enterprise integration platform

From
$99/month
Rated
-

The short version

  • Each has a real cost: CoreWeave gPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand; Workato the pricing page names four product lines, Enterprise iPaaS, Agentic solutions, API Management and Data Orchestration, and publishes no figure for any of them, gating all of it behind Schedule a demo
  • They diverge on capability: CoreWeave covers NVIDIA H100/A100, Workato covers Process orchestration.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which CoreWeave and Workato actually diverge.

Attributes where CoreWeave and Workato differ
AttributeCoreWeaveWorkato
Starting price$0.35/per-hour$99/month
Pricing modelusage-basedsubscription
PlatformsCloudWeb, On-premise
CategoryAIAutomation Integration
Founded20172014

Identical on both: free tier (No), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in CoreWeave

  • NVIDIA H100/A100
  • Kubernetes native
  • High bandwidth
  • Object storage
  • Kubernetes
  • Terraform
  • Cloud APIs
  • Cloud support

Only in Workato

  • Process orchestration
  • Master data management
  • Integration templates
  • Real-time sync
  • Error handling
  • Monitoring
  • API management
  • Workflow analytics

What people use each for

The jobs each tool is most often brought in to do.

CoreWeave

  • Renting GPU compute for model training and inferencenot Workato
  • Running large scale AI workloads without buying hardwarenot Workato

Workato

  • Workflow Automationnot CoreWeave
  • Data Integrationnot CoreWeave
  • Process Automationnot CoreWeave
  • App Integrationnot CoreWeave
  • API Connectivitynot CoreWeave

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

CoreWeave

  • GPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand
  • Spot pricing is roughly 40% of on demand, at $19.71 an hour for the same H100 node, so predictable capacity carries a large premium
  • The newest hardware carries no published price and requires contacting sales
  • Discounts of up to 60% require committed usage agreements negotiated with sales
  • Only the GH200 is offered as a single GPU instance

Workato

  • The pricing page names four product lines, Enterprise iPaaS, Agentic solutions, API Management and Data Orchestration, and publishes no figure for any of them, gating all of it behind Schedule a demo

Pricing, plan by plan

CoreWeave

$0.35/per-hour
  • Standard$0.35/per-hour
    • Various GPU types
    • Kubernetes
  • EnterpriseFree
    • Dedicated clusters
    • Custom solutions

Workato

$99/month
  • Starter$99/month
    • Up to 50 recipes
    • Basic integrations
    • Email support
  • Professional$299/month
    • Unlimited recipes
    • Premium integrations
    • Priority support
  • Enterprise$999/month
    • Custom SLA
    • Dedicated support
    • Advanced security

Which should you pick?

Choose CoreWeave if

  • You need nvidia h100/a100.
  • You work on Cloud.
  • You also want kubernetes native.

Choose Workato if

  • You need process orchestration.
  • You work on Web, On-premise.
  • You also want master data management.

Questions people ask

Is CoreWeave or Workato better?
Neither clearly leads. CoreWeave starts at $0.35/per-hour and Workato at $99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, CoreWeave or Workato?
CoreWeave starts at $0.35/per-hour and Workato at $99/month.
Does CoreWeave or Workato run on more platforms?
CoreWeave runs on Cloud. Workato runs on Web, On-premise.
What is CoreWeave best used for?
CoreWeave is most often used for renting gpu compute for model training and inference, running large scale ai workloads without buying hardware. Of those, renting gpu compute for model training and inference and running large scale ai workloads without buying hardware are not what Workato is typically brought in for.
What can CoreWeave do that Workato cannot?
CoreWeave covers NVIDIA H100/A100, Kubernetes native, High bandwidth, Object storage. Workato covers Process orchestration, Master data management, Integration templates, Real-time sync.

Answered from the vendors’ own pages

CoreWeave: How much does CoreWeave cost?

CoreWeave does not publish pricing on its website. The company uses a quote-based pricing model and directs customers to contact their sales team directly to discuss pricing options and customized solutions.

Source
Workato: How is Workato pricing structured?

Workato states their pricing is built for flexibility and designed to support organizations of all sizes and needs. However, specific tier costs, feature inclusions, and contract terms are not published on their website.

Source
CoreWeave: How can I get a quote from CoreWeave?

To obtain CoreWeave pricing, you must contact their sales team directly through the Contact Us option on their website. They will provide a customized quote based on your specific compute and infrastructure requirements.

Source
Workato: Can I see Workato's pricing without talking to sales?

No. Workato requires interested buyers to either request a demo, request a trial, or contact their sales team directly to discuss pricing.

Source
Workato: Does Workato have a Predictable Pricing Commitment?

Yes, Workato mentions a Predictable Pricing Commitment, but the details are not visible on the main pricing page. You would need to contact them or visit the linked resource for details.

Source
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